Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
Spectral Clustering 0.019 k=179 Clustering
clusterdp 0.676 k=141
dc=21.834136
Clustering
AGNES 0.58 method=weighted
metric=euclidean
k=243
Clustering
c-Means 0.295 k=193
m=2.25
Clustering
k-Medoids (PAM) 0.697 k=112 Clustering
DIANA 0.179 metric=euclidean
k=425
Clustering
DBSCAN 0.016 eps=42.212662933333334
MinPts=594
Clustering
Hierarchical Clustering 0.69 method=complete
k=228
Clustering
fanny 0.424 k=187
membexp=2.0
Clustering
clusterONE 0.011 s=1
d=0.7
Clustering
Affinity Propagation 0.63 dampfact=0.7725
preference=0.0
maxits=2750
convits=200
Clustering
Markov Clustering 0.294 I=6.4008008008008 Clustering
Transitivity Clustering 0.684 T=8.174141005005005 Clustering
MCODE 0.191 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=F
Clustering